Global Geology 2018, 21(1) 55-61 DOI:   10.3969/j.issn.1673-9736.2018.01.06  ISSN: 1673-9736 CN: 22-1371/P

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Keywords
cross gradient
joint inversion
gravity data
gradient data
Authors
ZHAO Simin
GAO Xiuhe
QIAO Zhongkun
JIANG Dandan
ZHOU Fei
LIN Song
PubMed
Article by Zhao S
Article by Gao X
Article by Qiao Z
Article by Jiang D
Article by Zhou F
Article by Lin S

3D Joint inversion of gravity and gravity tensor data

ZHAO Simin1, GAO Xiuhe1, QIAO Zhongkun2, JIANG Dandan1, ZHOU Fei1, LIN Song1

1. College of Geo-Exploration Science and Techonology, Jilin University, Changchun 130026, China;
2. Guangzhou Marine Geological Survey, Guangzhou 510000, China

Abstract��

The processing and interpretation of gravity and gradient data plays an important role in geophysics. The cross gradient joint inversion is usually used for achieving structure coupling of multiple geophysical models. In order to realize the coupling of gravity and gravity tensor data, the authors analyzed each component. The results show that different types of data contain different direction information, and derived the joint inversion based on cross gradient function and applied it to model data. The theoretical model results show that the cross gradient method can reduce the multi solution and significantly improve the resolution of the inversion. The method was also applied to inverse the gravity tensor data in Vinton salt dome, showing that this method can get higher resolution results than the separate linear inversion, and be closer to the real density from drilling data.

Keywords�� cross gradient   joint inversion   gravity data   gradient data  
Received 2017-10-25 Revised 2017-11-25 Online:  
DOI: 10.3969/j.issn.1673-9736.2018.01.06
Fund:Supported by Project of National Key Research and Development Plan (No.2017YFC0601606, 2017YFC0602203), National Science and Technology Major Project (No.2016ZX05027-002-03), National Natural Science Foundation of China (No.41604098, 41404089) and State Key Program of National Natural Science of China (No.41430322).
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1��YUAN Zhiyi, ZENG Zhaofa, JIANG Dandan, HUAI Nan, ZHOU Fei.Multi-component joint inversion of gravity gradient based on fast forward calculation[J]. Global Geology, 2017,20(3): 176-183

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